The present application discloses a thermal management method for a battery pack. The method includes: under a condition that an electric vehicle is in a stationary state, obtaining a power-on time of the battery pack in the electric vehicle; under a condition of determining that the battery pack has a thermal management demand, determining a target temperature of the battery pack according to a connection state of a charging interface of the electric vehicle and a charging device; determining a thermal management starting time of the battery pack based on the target temperature of the battery pack and the power-on time; and under a condition that the thermal management starting time arrives, performing thermal management on the battery pack so that a temperature of the battery pack reaches the target temperature before the power-on time arrives.

A system preconditions a battery pack of a vehicle to support fast charging. The system detects a trigger that that indicates the vehicle will be traveling or the battery pack of the vehicle has been reduced to a predetermined capacity. The system collects a plurality of samples of location data of the vehicle. The system predicts a destination of the vehicle based on the samples. The system determines a propensity of a user to charge the vehicle based on previous charging behavior of the user. The system determines a confidence score of the predicted destination and the determined propensity. The system determines whether to schedule preconditioning of the battery pack based on the confidence score meeting a threshold.

A method for planning a power exchange between a charging infrastructure and an electricity supply grid. The infrastructure has a plurality of terminals for connecting and charging electric vehicles such that the electric vehicles can exchange power with the grid via the terminals. Each electric vehicle has an electrical storage unit with a variable individual state of charge for drawing and outputting power, and all of the storage units connected to the infrastructure form an overall storage unit of the infrastructure, which overall storage unit is characterized by a total storage capacity and a total state of charge that are variable. The prediction of arrival times of the vehicles at the terminals thereof is created, and a total state of charge prediction is created for a prediction period depending on the prediction of the arrival times, wherein the total state of charge prediction is created as a time profile.

A method for determining a maximum value for a parameter range of a driving operation parameter of a motor vehicle. The motor vehicle includes a control device, at least one electric traction motor, an electric energy storage device which can be operated in an operating temperature range for operating the traction motor, and at least one temperature sensor for determining a temperature of the energy storage device. The control device determines the maximum value as a function of a current temperature of the energy storage device determined by the temperature sensor in such a manner that, after the approach of a destination known to the control device and/or after a journey over a predetermined distance with the driving operation parameter restricted by the maximum value of the parameter range, a predicted temperature of the energy storage device lies within a charging temperature range.

An ECU of a fuel cell vehicle determines whether the vehicle travels on an uphill road or not. When determining that the vehicle travels on the uphill road, the ECU performs at least one of a temperature reduction control for reducing the temperature of a fuel cell stack and a humidification control for increasing the water content of the fuel cell stack, by the time the vehicle reaches the uphill road.

A vehicle includes a traction battery and a battery cooling system arranged to cool the battery. A controller of the vehicle is programmed to, responsive to current of the battery exceeding a current threshold and a temperature of the battery being less than a threshold temperature, activate the battery cooling system to cool the battery.

A vehicle includes an electric-device temperature acquisition unit, a charging controller, and a predicted charging time deriving unit. The electric-device temperature acquisition unit acquires a temperature of an electric device disposed in a current path for external charging for supplying electric power from a power supply external to the vehicle to a battery mounted in the vehicle. The charging controller pauses a supply of electric power to the battery in response to the temperature of the electric device becoming greater than or equal to a first threshold during the external charging, and resumes the supply of electric power to the battery in response to the temperature of the electric device becoming less than a second threshold lower than the first threshold. The predicted charging time deriving unit derives a predicted charging time predicted to be taken for the external charging in accordance with an instruction for the external charging.

A battery temperature adjustment system includes: a battery; a battery temperature adjustment device; and a control device configured to control the battery and the battery temperature adjustment device. The control device includes: a scheduled travel plan acquisition unit; a normal battery cooling control planning unit configured to derive a predicted battery temperature and a temperature adjustment capability of the battery temperature adjustment device in a normal battery cooling control: and a temperature adjustment plan creation unit configured to: create a temperature adjustment plan for the battery; derive a battery temperature adjustment amount required for making the temperature of the battery equal to or lower than a predetermined temperature when an occurrence of overshoot, in which the predicted battery temperature exceeds the predetermined temperature, is predicted; and distribute the battery temperature adjustment amount based on the temperature adjustment capability of the battery temperature adjustment device before the overshoot occurs.

Systems, methods, devices, and models for range estimation and analysis in battery powered vehicles are described. Energy consumption over vehicle trips is collected, to evaluate weighting factors for a weighted sum. The weighted sum is evaluated based on determined weighting factors and expected trip data, to determine an energy consumption of a trip or trips of a vehicle. Determined energy consumption for trips is used for evaluating suitability of the vehicle for performing the trips.

A solar loading-based system includes a memory, a solar load prediction module, and an eco-routing module. The memory is configured to store map information and environment information. The solar load prediction module is configured, based on the map information and the environment information, to (i) determine a route of a host vehicle, (ii) predict solar loading on the host vehicle along the route, and (iii) predict an amount of energy to be consumed by the host vehicle over the route based on the predicted solar loading. The eco-routing module is configured, based on the amount of energy to be consumed by the host vehicle over the route, to at least one of (i) determine whether to follow the route, or (ii) inform a user of the route and the predicted amount of energy to be consumed over the route.